Task 3076268
| Name | rand_automata_0082-1606118020-23562-98_0 |
| Workunit | 1404328 |
| Created | 26 Nov 2020, 23:52:41 UTC |
| Sent | 27 Nov 2020, 0:02:37 UTC |
| Report deadline | 4 Dec 2020, 0:02:37 UTC |
| Received | 27 Nov 2020, 0:12:55 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 54 sec |
| CPU time | 9 min 50 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 3,339.24 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.19 GB |
| Peak swap size | 9.98 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -c -a LSTM --lr 0.001 -w 64 -b 2 -s 32 --maxepoch 192 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650) [2020-11-26 19:02:53 main:442] : INFO : Set logging level to 1 [2020-11-26 19:02:53 main:448] : INFO : Running in BOINC Client mode [2020-11-26 19:02:53 main:451] : INFO : Resolving all filenames [2020-11-26 19:02:53 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 19:02:53 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-98_0_r1766033831_1 (exists = 0) [2020-11-26 19:02:53 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-98_0_r1766033831_0 (exists = 0) [2020-11-26 19:02:53 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-98 (exists = 1) [2020-11-26 19:02:53 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 19:02:53 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 19:02:53 main:481] : INFO : Configuration: [2020-11-26 19:02:53 main:482] : INFO : Model type: LSTM [2020-11-26 19:02:53 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 19:02:53 main:484] : INFO : Max Epochs: 192 [2020-11-26 19:02:53 main:485] : INFO : Batch Size: 32 [2020-11-26 19:02:53 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 19:02:53 main:487] : INFO : Patience: 10 [2020-11-26 19:02:53 main:488] : INFO : Hidden Width: 64 [2020-11-26 19:02:53 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 19:02:53 main:490] : INFO : # Backend Layers: 2 [2020-11-26 19:02:53 main:491] : INFO : # Threads: 1 [2020-11-26 19:02:53 main:493] : INFO : Preparing Dataset [2020-11-26 19:02:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 19:02:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 19:02:55 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 19:02:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 19:02:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 19:02:55 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 19:02:55 main:501] : INFO : Creating Model [2020-11-26 19:02:55 main:514] : INFO : Preparing config file [2020-11-26 19:02:55 main:526] : INFO : Creating new config file [2020-11-26 19:02:55 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 19:02:56 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 19:02:56 main:569] : INFO : Starting Training [2020-11-26 19:03:00 main:581] : INFO : Epoch 1 | loss: 0.0637862 | val_loss: 0.0637784 | Time: 4357.76 ms [2020-11-26 19:03:03 main:581] : INFO : Epoch 2 | loss: 0.0638005 | val_loss: 0.063791 | Time: 2985.44 ms [2020-11-26 19:03:06 main:581] : INFO : Epoch 3 | loss: 0.0638026 | val_loss: 0.0638078 | Time: 3105.14 ms [2020-11-26 19:03:09 main:581] : INFO : Epoch 4 | loss: 0.063789 | val_loss: 0.0637573 | Time: 2987.32 ms [2020-11-26 19:03:12 main:581] : INFO : Epoch 5 | loss: 0.0637797 | val_loss: 0.0637659 | Time: 2993.99 ms [2020-11-26 19:03:15 main:581] : INFO : Epoch 6 | loss: 0.0638117 | val_loss: 0.0637888 | Time: 3220.2 ms [2020-11-26 19:03:18 main:581] : INFO : Epoch 7 | loss: 0.0638096 | val_loss: 0.0638351 | Time: 2981 ms [2020-11-26 19:03:21 main:581] : INFO : Epoch 8 | loss: 0.0638592 | val_loss: 0.0638642 | Time: 3000.5 ms [2020-11-26 19:03:24 main:581] : INFO : Epoch 9 | loss: 0.0638791 | val_loss: 0.0638855 | Time: 3152.03 ms [2020-11-26 19:03:27 main:581] : INFO : Epoch 10 | loss: 0.063899 | val_loss: 0.0638904 | Time: 2975.45 ms [2020-11-26 19:03:30 main:581] : INFO : Epoch 11 | loss: 0.0639071 | val_loss: 0.0639119 | Time: 2987.15 ms [2020-11-26 19:03:34 main:581] : INFO : Epoch 12 | loss: 0.0639712 | val_loss: 0.0639875 | Time: 3146.61 ms [2020-11-26 19:03:37 main:581] : INFO : Epoch 13 | loss: 0.0640275 | val_loss: 0.0640205 | Time: 3026.57 ms [2020-11-26 19:03:40 main:581] : INFO : Epoch 14 | loss: 0.0640325 | val_loss: 0.0640218 | Time: 3009.44 ms [2020-11-26 19:03:43 main:581] : INFO : Epoch 15 | loss: 0.0640411 | val_loss: 0.064044 | Time: 3112.25 ms [2020-11-26 19:03:46 main:581] : INFO : Epoch 16 | loss: 0.0640563 | val_loss: 0.0640495 | Time: 3248.12 ms [2020-11-26 19:03:49 main:581] : INFO : Epoch 17 | loss: 0.0640609 | val_loss: 0.064034 | Time: 2976.33 ms [2020-11-26 19:03:52 main:581] : INFO : Epoch 18 | loss: 0.0640538 | val_loss: 0.0640532 | Time: 2946.97 ms [2020-11-26 19:03:55 main:581] : INFO : Epoch 19 | loss: 0.0640521 | val_loss: 0.0640334 | Time: 3000.72 ms [2020-11-26 19:03:58 main:581] : INFO : Epoch 20 | loss: 0.0640532 | val_loss: 0.0640526 | Time: 3010.98 ms [2020-11-26 19:04:01 main:581] : INFO : Epoch 21 | loss: 0.0640597 | val_loss: 0.0640475 | Time: 3082.98 ms [2020-11-26 19:04:04 main:581] : INFO : Epoch 22 | loss: 0.0640573 | val_loss: 0.064072 | Time: 2976.68 ms [2020-11-26 19:04:07 main:581] : INFO : Epoch 23 | loss: 0.0640745 | val_loss: 0.0640958 | Time: 3027.7 ms [2020-11-26 19:04:10 main:581] : INFO : Epoch 24 | loss: 0.0640734 | val_loss: 0.0640899 | Time: 3203.84 ms [2020-11-26 19:04:13 main:581] : INFO : Epoch 25 | loss: 0.0640805 | val_loss: 0.0640723 | Time: 3031.87 ms [2020-11-26 19:04:16 main:581] : INFO : Epoch 26 | loss: 0.0640763 | val_loss: 0.0640721 | Time: 3050.63 ms [2020-11-26 19:04:19 main:581] : INFO : Epoch 27 | loss: 0.0640754 | val_loss: 0.0640973 | Time: 3099.94 ms [2020-11-26 19:04:22 main:581] : INFO : Epoch 28 | loss: 0.0640775 | val_loss: 0.0640878 | Time: 3052.22 ms [2020-11-26 19:04:25 main:581] : INFO : Epoch 29 | loss: 0.0640751 | val_loss: 0.0640942 | Time: 3046.09 ms [2020-11-26 19:04:28 main:581] : INFO : Epoch 30 | loss: 0.064078 | val_loss: 0.0640929 | Time: 3059.92 ms [2020-11-26 19:04:32 main:581] : INFO : Epoch 31 | loss: 0.0640883 | val_loss: 0.0640935 | Time: 3044.05 ms [2020-11-26 19:04:35 main:581] : INFO : Epoch 32 | loss: 0.0640794 | val_loss: 0.0640466 | Time: 3024.19 ms [2020-11-26 19:04:38 main:581] : INFO : Epoch 33 | loss: 0.0640285 | val_loss: 0.063992 | Time: 3154.25 ms [2020-11-26 19:04:41 main:581] : INFO : Epoch 34 | loss: 0.0640082 | val_loss: 0.0640151 | Time: 3011.63 ms [2020-11-26 19:04:44 main:581] : INFO : Epoch 35 | loss: 0.0640045 | val_loss: 0.0640104 | Time: 3107.83 ms [2020-11-26 19:04:47 main:581] : INFO : Epoch 36 | loss: 0.0640113 | val_loss: 0.0640222 | Time: 3101.06 ms [2020-11-26 19:04:50 main:581] : INFO : Epoch 37 | loss: 0.0640024 | val_loss: 0.0640017 | Time: 3004.02 ms [2020-11-26 19:04:53 main:581] : INFO : Epoch 38 | loss: 0.0640083 | val_loss: 0.0640101 | Time: 3159.88 ms [2020-11-26 19:04:56 main:581] : INFO : Epoch 39 | loss: 0.0640098 | val_loss: 0.0640058 | Time: 2984.64 ms [2020-11-26 19:04:59 main:581] : INFO : Epoch 40 | loss: 0.0640177 | val_loss: 0.0640406 | Time: 3047.57 ms [2020-11-26 19:05:02 main:581] : INFO : Epoch 41 | loss: 0.0640213 | val_loss: 0.064026 | Time: 3076.3 ms [2020-11-26 19:05:05 main:581] : INFO : Epoch 42 | loss: 0.0640265 | val_loss: 0.0640403 | Time: 3002.51 ms [2020-11-26 19:05:08 main:581] : INFO : Epoch 43 | loss: 0.0640288 | val_loss: 0.0640307 | Time: 3089.73 ms [2020-11-26 19:05:11 main:581] : INFO : Epoch 44 | loss: 0.0640311 | val_loss: 0.0640264 | Time: 3070.7 ms [2020-11-26 19:05:14 main:581] : INFO : Epoch 45 | loss: 0.0640283 | val_loss: 0.0640293 | Time: 3051.99 ms [2020-11-26 19:05:17 main:581] : INFO : Epoch 46 | loss: 0.0640268 | val_loss: 0.0640096 | Time: 3049.91 ms [2020-11-26 19:05:21 main:581] : INFO : Epoch 47 | loss: 0.0640347 | val_loss: 0.0640235 | Time: 3116.45 ms [2020-11-26 19:05:24 main:581] : INFO : Epoch 48 | loss: 0.0640304 | val_loss: 0.0640092 | Time: 3181.1 ms [2020-11-26 19:05:27 main:581] : INFO : Epoch 49 | loss: 0.0640288 | val_loss: 0.0640374 | Time: 2988.49 ms [2020-11-26 19:05:30 main:581] : INFO : Epoch 50 | loss: 0.0640279 | val_loss: 0.0640171 | Time: 3154.94 ms [2020-11-26 19:05:33 main:581] : INFO : Epoch 51 | loss: 0.0640306 | val_loss: 0.0640193 | Time: 3029.62 ms [2020-11-26 19:05:36 main:581] : INFO : Epoch 52 | loss: 0.0640217 | val_loss: 0.0640009 | Time: 2986.75 ms [2020-11-26 19:05:39 main:581] : INFO : Epoch 53 | loss: 0.0640159 | val_loss: 0.0640038 | Time: 3050.35 ms [2020-11-26 19:05:42 main:581] : INFO : Epoch 54 | loss: 0.0640133 | val_loss: 0.0639993 | Time: 3063.55 ms [2020-11-26 19:05:45 main:581] : INFO : Epoch 55 | loss: 0.0640039 | val_loss: 0.0639986 | Time: 3078.82 ms [2020-11-26 19:05:48 main:581] : INFO : Epoch 56 | loss: 0.0640012 | val_loss: 0.0640071 | Time: 3013.72 ms [2020-11-26 19:05:51 main:581] : INFO : Epoch 57 | loss: 0.063999 | val_loss: 0.0640015 | Time: 2990.02 ms [2020-11-26 19:05:54 main:581] : INFO : Epoch 58 | loss: 0.0640015 | val_loss: 0.0640112 | Time: 3006.26 ms [2020-11-26 19:05:57 main:581] : INFO : Epoch 59 | loss: 0.0640233 | val_loss: 0.0640017 | Time: 3028.48 ms [2020-11-26 19:06:00 main:581] : INFO : Epoch 60 | loss: 0.0640259 | val_loss: 0.0640027 | Time: 2979.39 ms [2020-11-26 19:06:03 main:581] : INFO : Epoch 61 | loss: 0.0640212 | val_loss: 0.0640089 | Time: 3022.19 ms [2020-11-26 19:06:06 main:581] : INFO : Epoch 62 | loss: 0.0640144 | val_loss: 0.0640174 | Time: 3043.04 ms [2020-11-26 19:06:09 main:581] : INFO : Epoch 63 | loss: 0.0640118 | val_loss: 0.063999 | Time: 3006.42 ms [2020-11-26 19:06:12 main:581] : INFO : Epoch 64 | loss: 0.0640074 | val_loss: 0.0639988 | Time: 2992.59 ms [2020-11-26 19:06:15 main:581] : INFO : Epoch 65 | loss: 0.0640037 | val_loss: 0.0639936 | Time: 3161.53 ms [2020-11-26 19:06:19 main:581] : INFO : Epoch 66 | loss: 0.0640138 | val_loss: 0.0640038 | Time: 3264.52 ms [2020-11-26 19:06:22 main:581] : INFO : Epoch 67 | loss: 0.0640125 | val_loss: 0.064001 | Time: 3078.54 ms [2020-11-26 19:06:25 main:581] : INFO : Epoch 68 | loss: 0.0640046 | val_loss: 0.0639884 | Time: 2985.39 ms [2020-11-26 19:06:28 main:581] : INFO : Epoch 69 | loss: 0.0640095 | val_loss: 0.0640106 | Time: 3120.66 ms [2020-11-26 19:06:31 main:581] : INFO : Epoch 70 | loss: 0.0640109 | val_loss: 0.0639985 | Time: 2968.42 ms [2020-11-26 19:06:34 main:581] : INFO : Epoch 71 | loss: 0.0640148 | val_loss: 0.0640185 | Time: 3116.18 ms [2020-11-26 19:06:37 main:581] : INFO : Epoch 72 | loss: 0.0640078 | val_loss: 0.0640124 | Time: 3079.13 ms [2020-11-26 19:06:40 main:581] : INFO : Epoch 73 | loss: 0.0640035 | val_loss: 0.0639964 | Time: 3027.21 ms [2020-11-26 19:06:43 main:581] : INFO : Epoch 74 | loss: 0.064001 | val_loss: 0.0639879 | Time: 3074.95 ms [2020-11-26 19:06:46 main:581] : INFO : Epoch 75 | loss: 0.0639994 | val_loss: 0.0640004 | Time: 3012.52 ms [2020-11-26 19:06:49 main:581] : INFO : Epoch 76 | loss: 0.0640036 | val_loss: 0.0639869 | Time: 2979.84 ms [2020-11-26 19:06:52 main:581] : INFO : Epoch 77 | loss: 0.0640036 | val_loss: 0.0640016 | Time: 3029.78 ms [2020-11-26 19:06:55 main:581] : INFO : Epoch 78 | loss: 0.0640038 | val_loss: 0.0639729 | Time: 3038.79 ms [2020-11-26 19:06:58 main:581] : INFO : Epoch 79 | loss: 0.0639958 | val_loss: 0.0639668 | Time: 3125.47 ms [2020-11-26 19:07:01 main:581] : INFO : Epoch 80 | loss: 0.0639903 | val_loss: 0.0639856 | Time: 3146.33 ms [2020-11-26 19:07:04 main:581] : INFO : Epoch 81 | loss: 0.0639711 | val_loss: 0.0639478 | Time: 2963.67 ms [2020-11-26 19:07:08 main:581] : INFO : Epoch 82 | loss: 0.0639715 | val_loss: 0.0639465 | Time: 3230.06 ms [2020-11-26 19:07:11 main:581] : INFO : Epoch 83 | loss: 0.0639715 | val_loss: 0.0639514 | Time: 2993.51 ms [2020-11-26 19:07:14 main:581] : INFO : Epoch 84 | loss: 0.0639658 | val_loss: 0.0639764 | Time: 3060.16 ms [2020-11-26 19:07:17 main:581] : INFO : Epoch 85 | loss: 0.0639685 | val_loss: 0.0639328 | Time: 3011.65 ms [2020-11-26 19:07:20 main:581] : INFO : Epoch 86 | loss: 0.0639429 | val_loss: 0.0639327 | Time: 2955.15 ms [2020-11-26 19:07:23 main:581] : INFO : Epoch 87 | loss: 0.063939 | val_loss: 0.0639207 | Time: 2960.68 ms [2020-11-26 19:07:26 main:581] : INFO : Epoch 88 | loss: 0.0639386 | val_loss: 0.0639302 | Time: 3222.59 ms [2020-11-26 19:07:29 main:581] : INFO : Epoch 89 | loss: 0.0639352 | val_loss: 0.0639331 | Time: 3229.07 ms [2020-11-26 19:07:32 main:581] : INFO : Epoch 90 | loss: 0.0639426 | val_loss: 0.0639364 | Time: 3075.04 ms [2020-11-26 19:07:35 main:581] : INFO : Epoch 91 | loss: 0.0639406 | val_loss: 0.0639306 | Time: 3099.05 ms [2020-11-26 19:07:38 main:581] : INFO : Epoch 92 | loss: 0.0639435 | val_loss: 0.0639421 | Time: 3136.27 ms [2020-11-26 19:07:41 main:581] : INFO : Epoch 93 | loss: 0.0639372 | val_loss: 0.0639415 | Time: 2960.86 ms [2020-11-26 19:07:44 main:581] : INFO : Epoch 94 | loss: 0.0639415 | val_loss: 0.0639458 | Time: 3026.46 ms [2020-11-26 19:07:47 main:581] : INFO : Epoch 95 | loss: 0.0639445 | val_loss: 0.063951 | Time: 3040.05 ms [2020-11-26 19:07:50 main:581] : INFO : Epoch 96 | loss: 0.0639413 | val_loss: 0.063954 | Time: 3101 ms [2020-11-26 19:07:54 main:581] : INFO : Epoch 97 | loss: 0.0639429 | val_loss: 0.0639664 | Time: 3132.77 ms [2020-11-26 19:07:57 main:581] : INFO : Epoch 98 | loss: 0.0639758 | val_loss: 0.0639772 | Time: 3010.31 ms [2020-11-26 19:08:00 main:581] : INFO : Epoch 99 | loss: 0.0639784 | val_loss: 0.0639757 | Time: 2971.54 ms [2020-11-26 19:08:03 main:581] : INFO : Epoch 100 | loss: 0.0639791 | val_loss: 0.0639751 | Time: 3019.87 ms [2020-11-26 19:08:06 main:581] : INFO : Epoch 101 | loss: 0.0639755 | val_loss: 0.0639618 | Time: 3168.56 ms [2020-11-26 19:08:09 main:581] : INFO : Epoch 102 | loss: 0.0639699 | val_loss: 0.063947 | Time: 3306.5 ms [2020-11-26 19:08:12 main:581] : INFO : Epoch 103 | loss: 0.0639493 | val_loss: 0.0639472 | Time: 3231.02 ms [2020-11-26 19:08:15 main:581] : INFO : Epoch 104 | loss: 0.0639496 | val_loss: 0.0639523 | Time: 3094.09 ms [2020-11-26 19:08:18 main:581] : INFO : Epoch 105 | loss: 0.0639466 | val_loss: 0.0639314 | Time: 3011.18 ms [2020-11-26 19:08:21 main:581] : INFO : Epoch 106 | loss: 0.0639356 | val_loss: 0.0639137 | Time: 3037.24 ms [2020-11-26 19:08:25 main:581] : INFO : Epoch 107 | loss: 0.0639298 | val_loss: 0.0639043 | Time: 3142.79 ms [2020-11-26 19:08:28 main:581] : INFO : Epoch 108 | loss: 0.0639329 | val_loss: 0.0639118 | Time: 3115.87 ms [2020-11-26 19:08:31 main:581] : INFO : Epoch 109 | loss: 0.0639333 | val_loss: 0.0639472 | Time: 3026.02 ms [2020-11-26 19:08:34 main:581] : INFO : Epoch 110 | loss: 0.0639714 | val_loss: 0.0639505 | Time: 2972.71 ms [2020-11-26 19:08:37 main:581] : INFO : Epoch 111 | loss: 0.0639951 | val_loss: 0.0639973 | Time: 3059.5 ms [2020-11-26 19:08:40 main:581] : INFO : Epoch 112 | loss: 0.0640241 | val_loss: 0.0639946 | Time: 3074.38 ms [2020-11-26 19:08:43 main:581] : INFO : Epoch 113 | loss: 0.0640266 | val_loss: 0.0640013 | Time: 2987.99 ms [2020-11-26 19:08:46 main:581] : INFO : Epoch 114 | loss: 0.0640248 | val_loss: 0.06399 | Time: 2972.56 ms [2020-11-26 19:08:49 main:581] : INFO : Epoch 115 | loss: 0.0640292 | val_loss: 0.0640226 | Time: 2983.33 ms [2020-11-26 19:08:52 main:581] : INFO : Epoch 116 | loss: 0.0640266 | val_loss: 0.0640144 | Time: 2993.82 ms [2020-11-26 19:08:55 main:581] : INFO : Epoch 117 | loss: 0.0640226 | val_loss: 0.0640064 | Time: 3056.15 ms [2020-11-26 19:08:58 main:581] : INFO : Epoch 118 | loss: 0.0640247 | val_loss: 0.0639989 | Time: 2974.47 ms [2020-11-26 19:09:01 main:581] : INFO : Epoch 119 | loss: 0.0640406 | val_loss: 0.064069 | Time: 3060.35 ms [2020-11-26 19:09:04 main:581] : INFO : Epoch 120 | loss: 0.0640743 | val_loss: 0.0640402 | Time: 3296.11 ms [2020-11-26 19:09:07 main:581] : INFO : Epoch 121 | loss: 0.0640678 | val_loss: 0.0640611 | Time: 3049.47 ms [2020-11-26 19:09:10 main:581] : INFO : Epoch 122 | loss: 0.0640727 | val_loss: 0.0640659 | Time: 3119.08 ms [2020-11-26 19:09:14 main:581] : INFO : Epoch 123 | loss: 0.0640635 | val_loss: 0.0640436 | Time: 3351.04 ms [2020-11-26 19:09:17 main:581] : INFO : Epoch 124 | loss: 0.0640655 | val_loss: 0.0640545 | Time: 3100.98 ms [2020-11-26 19:09:20 main:581] : INFO : Epoch 125 | loss: 0.0640693 | val_loss: 0.064053 | Time: 3055.68 ms [2020-11-26 19:09:23 main:581] : INFO : Epoch 126 | loss: 0.0640678 | val_loss: 0.0640642 | Time: 2988.36 ms [2020-11-26 19:09:26 main:581] : INFO : Epoch 127 | loss: 0.0640674 | val_loss: 0.064059 | Time: 3081.9 ms [2020-11-26 19:09:29 main:581] : INFO : Epoch 128 | loss: 0.0640663 | val_loss: 0.0640586 | Time: 3072.95 ms [2020-11-26 19:09:32 main:581] : INFO : Epoch 129 | loss: 0.0640629 | val_loss: 0.0640542 | Time: 3119.95 ms [2020-11-26 19:09:35 main:581] : INFO : Epoch 130 | loss: 0.0640579 | val_loss: 0.0640671 | Time: 3009.38 ms [2020-11-26 19:09:38 main:581] : INFO : Epoch 131 | loss: 0.0640582 | val_loss: 0.0640517 | Time: 3053.97 ms [2020-11-26 19:09:41 main:581] : INFO : Epoch 132 | loss: 0.0640704 | val_loss: 0.0640677 | Time: 2975.18 ms [2020-11-26 19:09:44 main:581] : INFO : Epoch 133 | loss: 0.0640736 | val_loss: 0.0640586 | Time: 2979.71 ms [2020-11-26 19:09:47 main:581] : INFO : Epoch 134 | loss: 0.0640756 | val_loss: 0.0640689 | Time: 3003.41 ms [2020-11-26 19:09:50 main:581] : INFO : Epoch 135 | loss: 0.0640763 | val_loss: 0.0640518 | Time: 3053.9 ms [2020-11-26 19:09:53 main:581] : INFO : Epoch 136 | loss: 0.0640684 | val_loss: 0.0640236 | Time: 3236.64 ms [2020-11-26 19:09:57 main:581] : INFO : Epoch 137 | loss: 0.0640548 | val_loss: 0.0640231 | Time: 3082.14 ms [2020-11-26 19:10:00 main:581] : INFO : Epoch 138 | loss: 0.0640497 | val_loss: 0.064036 | Time: 3062.84 ms [2020-11-26 19:10:03 main:581] : INFO : Epoch 139 | loss: 0.0640512 | val_loss: 0.0640347 | Time: 2980.72 ms [2020-11-26 19:10:06 main:581] : INFO : Epoch 140 | loss: 0.0640504 | val_loss: 0.06403 | Time: 3101.18 ms [2020-11-26 19:10:09 main:581] : INFO : Epoch 141 | loss: 0.064047 | val_loss: 0.0640169 | Time: 3067.1 ms [2020-11-26 19:10:12 main:581] : INFO : Epoch 142 | loss: 0.0640423 | val_loss: 0.0640322 | Time: 2997.31 ms [2020-11-26 19:10:15 main:581] : INFO : Epoch 143 | loss: 0.0640459 | val_loss: 0.0640157 | Time: 3164.01 ms [2020-11-26 19:10:18 main:581] : INFO : Epoch 144 | loss: 0.0640448 | val_loss: 0.0640183 | Time: 3103.16 ms [2020-11-26 19:10:21 main:581] : INFO : Epoch 145 | loss: 0.0640417 | val_loss: 0.0640235 | Time: 3001.74 ms [2020-11-26 19:10:24 main:581] : INFO : Epoch 146 | loss: 0.0640407 | val_loss: 0.0640211 | Time: 2962.91 ms [2020-11-26 19:10:27 main:581] : INFO : Epoch 147 | loss: 0.0640383 | val_loss: 0.064021 | Time: 3044.23 ms [2020-11-26 19:10:30 main:581] : INFO : Epoch 148 | loss: 0.0640341 | val_loss: 0.0640049 | Time: 2989.56 ms [2020-11-26 19:10:33 main:581] : INFO : Epoch 149 | loss: 0.0640228 | val_loss: 0.0639979 | Time: 2993.37 ms [2020-11-26 19:10:36 main:581] : INFO : Epoch 150 | loss: 0.0640178 | val_loss: 0.0640081 | Time: 3090.87 ms [2020-11-26 19:10:39 main:581] : INFO : Epoch 151 | loss: 0.0640171 | val_loss: 0.0640176 | Time: 3128.87 ms [2020-11-26 19:10:42 main:581] : INFO : Epoch 152 | loss: 0.064017 | val_loss: 0.0640073 | Time: 3150.16 ms [2020-11-26 19:10:46 main:581] : INFO : Epoch 153 | loss: 0.0640192 | val_loss: 0.0640112 | Time: 3147.52 ms [2020-11-26 19:10:49 main:581] : INFO : Epoch 154 | loss: 0.0640185 | val_loss: 0.064016 | Time: 3142.46 ms [2020-11-26 19:10:52 main:581] : INFO : Epoch 155 | loss: 0.0640242 | val_loss: 0.0640225 | Time: 3041.83 ms [2020-11-26 19:10:55 main:581] : INFO : Epoch 156 | loss: 0.0640236 | val_loss: 0.0640136 | Time: 3007.73 ms [2020-11-26 19:10:58 main:581] : INFO : Epoch 157 | loss: 0.0640242 | val_loss: 0.0640137 | Time: 2989.4 ms [2020-11-26 19:11:01 main:581] : INFO : Epoch 158 | loss: 0.0640248 | val_loss: 0.0640041 | Time: 3106.89 ms [2020-11-26 19:11:04 main:581] : INFO : Epoch 159 | loss: 0.064024 | val_loss: 0.0640023 | Time: 3063.99 ms [2020-11-26 19:11:07 main:581] : INFO : Epoch 160 | loss: 0.0640268 | val_loss: 0.0640189 | Time: 3010.5 ms [2020-11-26 19:11:10 main:581] : INFO : Epoch 161 | loss: 0.0640261 | val_loss: 0.0640121 | Time: 2969.91 ms [2020-11-26 19:11:13 main:581] : INFO : Epoch 162 | loss: 0.0640206 | val_loss: 0.0639882 | Time: 3060.79 ms [2020-11-26 19:11:16 main:581] : INFO : Epoch 163 | loss: 0.0640083 | val_loss: 0.0639814 | Time: 3019.1 ms [2020-11-26 19:11:19 main:581] : INFO : Epoch 164 | loss: 0.0640067 | val_loss: 0.063985 | Time: 2981.75 ms [2020-11-26 19:11:22 main:581] : INFO : Epoch 165 | loss: 0.0640076 | val_loss: 0.0639875 | Time: 3018.55 ms [2020-11-26 19:11:25 main:581] : INFO : Epoch 166 | loss: 0.064007 | val_loss: 0.0639788 | Time: 3018.07 ms [2020-11-26 19:11:28 main:581] : INFO : Epoch 167 | loss: 0.0640059 | val_loss: 0.0639861 | Time: 3024.48 ms [2020-11-26 19:11:31 main:581] : INFO : Epoch 168 | loss: 0.0640074 | val_loss: 0.0639824 | Time: 2993.07 ms [2020-11-26 19:11:34 main:581] : INFO : Epoch 169 | loss: 0.0640077 | val_loss: 0.0639777 | Time: 2991.37 ms [2020-11-26 19:11:37 main:581] : INFO : Epoch 170 | loss: 0.0640076 | val_loss: 0.0639822 | Time: 2980.89 ms [2020-11-26 19:11:40 main:581] : INFO : Epoch 171 | loss: 0.064007 | val_loss: 0.0639845 | Time: 3034.28 ms [2020-11-26 19:11:43 main:581] : INFO : Epoch 172 | loss: 0.0640068 | val_loss: 0.0639896 | Time: 3076.3 ms [2020-11-26 19:11:46 main:581] : INFO : Epoch 173 | loss: 0.0640072 | val_loss: 0.0639871 | Time: 3056.78 ms [2020-11-26 19:11:49 main:581] : INFO : Epoch 174 | loss: 0.0640065 | val_loss: 0.0639905 | Time: 3021.48 ms [2020-11-26 19:11:52 main:581] : INFO : Epoch 175 | loss: 0.0640077 | val_loss: 0.0639911 | Time: 3089.14 ms [2020-11-26 19:11:55 main:581] : INFO : Epoch 176 | loss: 0.0640079 | val_loss: 0.063995 | Time: 3053.17 ms [2020-11-26 19:11:58 main:581] : INFO : Epoch 177 | loss: 0.0640081 | val_loss: 0.0639784 | Time: 2998.42 ms [2020-11-26 19:12:01 main:581] : INFO : Epoch 178 | loss: 0.0640031 | val_loss: 0.063985 | Time: 2981.57 ms [2020-11-26 19:12:04 main:581] : INFO : Epoch 179 | loss: 0.0640034 | val_loss: 0.0639902 | Time: 3089.03 ms [2020-11-26 19:12:07 main:581] : INFO : Epoch 180 | loss: 0.0640038 | val_loss: 0.0639868 | Time: 3064.53 ms [2020-11-26 19:12:10 main:581] : INFO : Epoch 181 | loss: 0.0640027 | val_loss: 0.0639838 | Time: 3017.9 ms [2020-11-26 19:12:14 main:581] : INFO : Epoch 182 | loss: 0.064004 | val_loss: 0.0639691 | Time: 3101.06 ms [2020-11-26 19:12:17 main:581] : INFO : Epoch 183 | loss: 0.0639987 | val_loss: 0.063964 | Time: 2981.93 ms [2020-11-26 19:12:20 main:581] : INFO : Epoch 184 | loss: 0.0639961 | val_loss: 0.0639707 | Time: 3103.84 ms [2020-11-26 19:12:23 main:581] : INFO : Epoch 185 | loss: 0.0639969 | val_loss: 0.0639711 | Time: 3137.51 ms [2020-11-26 19:12:26 main:581] : INFO : Epoch 186 | loss: 0.0639967 | val_loss: 0.0639641 | Time: 3078.83 ms [2020-11-26 19:12:29 main:581] : INFO : Epoch 187 | loss: 0.0639995 | val_loss: 0.0639689 | Time: 3042.47 ms [2020-11-26 19:12:32 main:581] : INFO : Epoch 188 | loss: 0.0640002 | val_loss: 0.0639741 | Time: 3121.07 ms [2020-11-26 19:12:35 main:581] : INFO : Epoch 189 | loss: 0.0639984 | val_loss: 0.0639661 | Time: 3045.96 ms [2020-11-26 19:12:38 main:581] : INFO : Epoch 190 | loss: 0.0640019 | val_loss: 0.0639775 | Time: 3247.23 ms [2020-11-26 19:12:41 main:581] : INFO : Epoch 191 | loss: 0.0640048 | val_loss: 0.063978 | Time: 3139.14 ms [2020-11-26 19:12:45 main:581] : INFO : Epoch 192 | loss: 0.064004 | val_loss: 0.0639769 | Time: 3090.48 ms [2020-11-26 19:12:45 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0639769 [2020-11-26 19:12:45 main:610] : INFO : Saving end state to config to file [2020-11-26 19:12:45 main:615] : INFO : Success, exiting.. 19:12:45 (15735): called boinc_finish(0) </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)